AI/ML Engineer: LLMs, RAG, & Multi-Agent Systems

Crossing Hurdles; United States; On-site; USD 100,000 - 150,000; Full time

Job summary

A technology firm in the United States is seeking a skilled AI/ML Engineer to design and optimize advanced models leveraging LLMs and prompt engineering. The ideal candidate will develop multi-agent systems, integrate solutions in secure cloud environments, and collaborate with cross-functional teams. Proficiency in Python, experience with cloud AI platforms, and strong communication skills are essential for this role. The position offers a unique opportunity to work on cutting-edge technology and contribute to innovative AI solutions.

Qualifications

• Strong proficiency in Python for AI/ML development, including REST APIs and SDK integrations.
• Hands-on experience deploying LLM and RAG systems in production environments.
• Experience with multi-agent orchestration and frameworks such as LangGraph or LangChain.

Responsibilities

• Design, implement, and optimize AI/ML models leveraging LLMs and prompt engineering.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions in secure cloud environments including AWS GovCloud and Google GovCloud.

Skills

Python for AI/ML development

Experience with REST APIs

Deployment of LLM and RAG systems

Multi-agent orchestration

Strong communication skills

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Job description

• Design, implement, and optimize AI/ML models leveraging LLMs, RAG, and prompt engineering for production-grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions in secure cloud environments including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build and maintain robust data pipelines, ETL processes, metadata catalogs, and ontologies to support high-quality AI training and inference.
• Develop REST APIs and SDK integrations to enable seamless interaction between models and systems.
• Collaborate with product, security, and engineering teams to ensure secure and scalable delivery aligned with DevOps and CI/CD best practices.
• Document architectural decisions and communicate technical concepts clearly to technical and non-technical stakeholders.

Requirements

• Strong proficiency in Python for AI/ML development, including REST APIs and SDK integrations.
• Hands-on experience deploying LLM and RAG systems in production environments.
• Experience with multi-agent orchestration and frameworks such as LangGraph or LangChain.
• Deep familiarity with cloud AI platforms including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, or AWS Bedrock.
• Experience building data pipelines, ETL systems, metadata catalogs, and ontologies.
• Strong understanding of secure coding practices and modern DevOps workflows including CI/CD pipelines.
• Excellent written and verbal communication skills for cross-functional collaboration and documentation.